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[HTML][HTML] Integrated edge deployable fault diagnostic algorithm for the Internet of Things (IoT): A methane sensing application
The Internet of Things (IoT) is seen as the most viable solution for real-time monitoring
applications. But the faults occurring at the perception layer are prone to misleading the data …
applications. But the faults occurring at the perception layer are prone to misleading the data …
Research on Fault Detection by Flow Sequence for Industrial Internet of Things in Sewage Treatment Plant Case
D Lei, L Zhao, D Chen - Sensors, 2024 - mdpi.com
Classifying the flow subsequences of sensor networks is an effective way for fault detection
in the Industrial Internet of Things (IIoT). Traditional fault detection algorithms identify …
in the Industrial Internet of Things (IIoT). Traditional fault detection algorithms identify …
A Review of Early Time Series Classification Methods on Machinery Dataset
This study takes a deep dive into the details of evaluating some early time series
classification algorithms when deployed on a comprehensive machinery dataset in the …
classification algorithms when deployed on a comprehensive machinery dataset in the …
The Application of Transfer Learning to the Detection of Signals in Wireless Networks
S Mishra - 2023 3rd International Conference on Smart …, 2023 - ieeexplore.ieee.org
In this research, we provide a machine learning strategy for detecting flaws during
production runs. As an example of a scenario where sensors are spread out over a large …
production runs. As an example of a scenario where sensors are spread out over a large …